The influence of n-3 polyunsaturated fatty acids on cognitive function in individuals without dementia: a systematic review and dose–response meta-analysis

Background Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been suggested as a cognitive enhancing agent, though their effect is doubtful. We aimed to examine the effect of n-3 PUFA on the cognitive function of middle-aged or older adults without dementia. Methods We reviewed randomized controlled trials of individuals aged 40 years or older. We systematically searched PubMed/MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane Library databases. We used the restricted cubic splines model for non-linear dose–response meta-analysis in terms of the standardized mean difference with 95% confidence intervals. Results The current meta-analysis on 24 studies (n 9660; follow-up 3 to 36 months) found that the beneficial effect on executive function demonstrates an upward trend within the initial 12 months of intervention. This effect is prominently observed with a daily intake surpassing 500 mg of n-3 PUFA and up to 420 mg of eicosapentaenoic acid (EPA). Furthermore, these trends exhibit heightened significance in regions where the levels of blood docosahexaenoic acid (DHA) + EPA are not very low. Conclusions Supplementation of n-3 PUFA may confer potential benefits to executive function among the middle-aged and elderly demographic, particularly in individuals whose dietary DHA + EPA level is not substantially diminished. Supplementary Information The online version contains supplementary material available at 10.1186/s12916-024-03296-0.


Background
In 1971, Bang et al. [1] suggested a beneficial effect of the dietary n-3 polyunsaturated fatty acid (PUFA) such as docosahexaenoic acid (DHA) or eicosapentaenoic acid (EPA) on the incidence of ischemic heart disease.Since then, abundant epidemiological studies have explored its role on the cognitive function in human [2][3][4] under the assumption that the n-3 PUFA helps resolve inflammation and facilitate brain development [5], reduces accumulation of amyloid β [6], and increases the production of brain-derived neurotrophic factor (BDNF) [7].
Unfortunately, the efficacy of n-3 PUFAs on cognition has not been proven consistently in previous metaanalyses.In older adults aged 60 years or older with mild cognitive impairment (MCI), n-3 PUFAs were beneficial on mini-mental status examination (MMSE) (weighted mean difference = 0.85) [8].Conversely, in adults aged 18 years or older, the impact of n-3 PUFA on MMSE was either negligible [9] or demonstrated very modest benefits at best resulting in less than 1% change in MMSE score [10].Moreover, in younger adults aged between their 20 s and 30 s, no discernible influence of n-3 PUFA on cognition was identified [11,12].McCaddon and Miller asserted that to have any expectation of observing an effect of a nutritional intervention within a typical time frame of clinical trials from months to years, it is required that the participants should experience cognitive decline or on the verge of it during the study period [13].These findings suggest that the inclusion of young adults in trials is unlikely to yield a significant effect of the intervention material on age-related cognitive trajectories [14].Given that this age-related cognitive decline might commence as early as in 20 s to 30 s [15], it would be judicious to restrict the inclusion criteria to individuals aged 40 or older for meta-analyses.On the other hand, MCI represents a syndrome distinguished by cognitive impairment that deviates from the anticipated age-related trajectories, while daily functioning is not disturbed to qualify for the diagnosis of dementia [16].Therefore, it would be meaningful to investigate the potential impact of n-3 PUFA with respect to the presence of MCI among the included studies.
Previous meta-analyses have primarily investigated the relationship between dose and response using linear models on subsets of included trials.However, this linear relationship could rarely be presumed in biological research [17], and subgroup analyses by categorizing trials could lead to a reduction in power and loss of information pertaining to the association to be examined [18,19].In this regard, the application of spline functions, which employ all available data points to explore the dose-response relationship between the intervention and the outcome, is capable of modeling intricate nonlinear associations [20,21].While several previous doseresponse meta-analyses have already been conducted, they have either included, in their analyses, very young adults around the age of 30 [22], exclusively dealt with prospective cohort studies [23,24], or were unable to conduct dose-response analyses due to data scarcity [8].Furthermore, none of the preceding meta-analyses have investigated this association in relation to the nationwide blood levels of DHA + EPA, despite the potential influence of early-life or long-term exposure to n-3 PUFA on cognitive function [25].
Therefore, the objective of this study was to examine the impact of n-3 PUFAs on cognitive function in nondemented individuals, encompassing both cognitively normal older adults and those with MCI, belonging to the middle-aged or older age group (≥ 40 years old).This investigation employed restricted cubic splines models [26] on randomized controlled trials with subgroup analyses by the nation-wide blood level of DHA + EPA and by the presence of MCI.

Methods
This study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [27] and its protocol was registered on the International Prospective Register of Systematic Reviews (PROSPERO, registration number: CRD42020221943).

Criteria for study inclusion/exclusion
The selection of studies based on the Population, Intervention, Comparison, Outcomes, and Study Design (PICOS) criteria for this review is as follows: (1) inclusion of human subjects without dementia, aged 40 years or older; (2) incorporation of interventions involving n-3 PUFA, DHA, EPA, or alpha-linolenic acid (ALA); (3) administration of intervention supplements alone or in combination with other supplements, excluding B vitamins; (4) implementation of interventions lasting 3 or more months; (5) outcomes in the form of cognitive test scores; (6) availability of the mean difference of the test scores before and after the intervention, along with dispersion data such as standard deviation (SD), standard errors of the mean (SEM), confidence intervals, t statistics, P values, or F statistics; (7) structured as a randomized placebo-controlled clinical trial; and (8) studies published in any language.

Search strategy and study selection
Electronic searches of the PubMed/MEDLINE, EMBASE, CINAHL, PsycINFO, and Cochrane Library database were performed by SW Suh, E Lim, and KW Kim from inception to Sep 2023.Searches for the gray literature were also sought through the International Clinical Trials Registry Platform Search Portal.Search strategies for each database are presented in the Additional file 1: Table S1 which were built based on a previous literature.
From the search results, S-Y Burm and H Lee selected studies independently that fit the inclusion and exclusion criteria based on their titles followed by their abstracts.Subsequent full-text evaluation of the selected studies was conducted independently by SW Suh and E Lim.Non-English texts were translated into English using Google Translate.Disagreement of the selection results between two investigators that are not resolved by their discussion was settled by KW Kim and JW Han.

Outcomes
For the primary outcome, we used the standardized mean difference of the test scores on global cognitive function between baseline and follow-up assessments.For the secondary outcomes, we used the mean difference of the test scores on episodic memory, executive function, processing speed, attention, and visuospatial function between baseline and follow-up.

Data extraction and assessment of methodological quality
SW Suh and E Lim, working independently, extracted data on the study design, recruitment setting and location, sample size, baseline characteristics of participants such as age and sex ratio, intervention methods (ingredients, dosage, frequency, and duration), compliance to the intervention, funding sources, and the mean difference in the cognitive performance of participants before and after the intervention along with its corresponding SD or SEM.The mean difference was represented as standardized mean difference (SMD), factoring in the combined SD, with correction for small sample bias using Hedges' g [28].In instances where the dispersion data on the mean difference was not provided, it was computed in adherence to the Cochrane guidelines [29].We grouped the cognitive tests by the cognitive domain they mainly represent based on a previous work [30].If a study reported outcomes of multiple tests for a single cognitive domain, we chose the most frequently used test among the overall included studies to maximize the homogeneity of the outcome variable.If there were several scores of multiple time points for a given cognitive test under random-effects model, we used the one with the longest intervention period.Additionally, in case that a given study did not report numerical data of cognitive test scores, we approximated the means and measures of dispersion from figures, if available.For studies with a crossover design, we only used data prior to the crossover.SW Suh and E Lim also evaluated risk of bias (RoB) of each included study using the RoB Tool from the Cochrane Handbook [29] in respect of the random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases.We made summary assessments of the RoB by the order of priority of the following rules: (1) "high" for the high risk of one or more key domains; (2) "unclear" for the unclear risk of one or more key domains; and (3) "low" for the low risk of all key domains [29].We determined the key domains to be the allocation concealment, blinding of participants and personnel, and blinding of outcome assessment because the outcome, cognitive test scores, could be critically affected by the preconception of the interviewer and/or interviewee.Disagreement between these two investigators about the extracted data or RoB that was not resolved by a discussion was settled by KW Kim and JW Han.We requested necessary information that was not available in the published article by e-mailing to the respective corresponding author.

Statistical analyses
We first synthesized data using standard inverse-variance random-effects model [31] for meta-analyses utilizing standardized mean differences (SMD) along with their corresponding 95% confidence intervals (CIs).This approach was adopted due to the diverse outcome measures employed by researchers in assessing cognitive function.We also conducted sensitivity analyses by eliminating one study at a time to examine the influence of each study on the results.We assessed the between-trial heterogeneity using I 2 and τ 2 values.Publication bias was ascertained by Egger's test when at least 7 studies were included, as well as the visual inspection of the funnel plot.
For the nonlinear dose-response meta-analysis, we used a restricted cubic spline model applying weighted mixed-effects models [32] in accordance with the methodology demonstrated by Orsini et al. [26] with 3 knots at fixed percentiles (5, 50, and 95%).Estimates of the mixed-effects model were acquired by a restricted maximum likelihood method [32].Through this, we evaluate the impact of key variables including the duration of the intervention (measured in months), daily intake of n-3 PUFA (in milligrams per day), cumulative PUFA consumption over the study period (in grams), daily intake of DHA (in milligrams per day), daily intake of EPA (in milligrams per day), and the ratio of DHA to EPA consumed.To ascertain nonlinearity, we conducted a Wald test [33].In addition, we executed a linear dose-response metaanalysis, adhering to the approach elucidated by Greenland and Longnecker [34] and compared the goodness of fit, denoted by χ 2 , between the nonlinear and linear models.Furthermore, we visually examined the plot to facilitate the interpretation of the corresponding curve.
We performed a priori subgroup analyses for the primary outcome and for the secondary outcomes with significant nonlinear associations in the main analyses (1) by the nation-wide blood level of DHA + EPA (very low level with ≤ 4% such as USA, UK, Ireland, and Italy versus other countries with > 4% in erythrocyte equivalents) [35] and (2) by baseline cognitive function (normal cognition vs MCI).The blood level was defined as the percentage of DHA + EPA of total fatty acids in erythrocyte equivalents.All statistical analyses were executed using the R statistical software (version 4.3.1;R Foundation for Statistical Computing, Vienna, Austria) with a P-value of < 0.05 set as a statistical significance.

Study selection
We retrieved 2040 articles and excluded 654 duplicates.Of the remaining 1386 articles, we excluded 1260 articles by screening the titles and abstracts.At this stage, we came to exclude all the non-English articles.Of the remaining 126 articles, we finally included 24 articles in the current systematic review after excluding 102 articles by full-text evaluation; 38 were not randomized or placebo-controlled, 11 had the intervention duration of less than 3 months, 17 included the participants under 40 years old, 10 included subjects who participated in other included studies, and 26 did not provide appropriate cognitive test results.We reached out to the corresponding authors but failed to get additional information on the missing data (Fig. 1).

Methodological quality
In terms of blindness and/or allocation concealment, two studies were at high risk of bias.Sala-Vila et al. acknowledged that the participants were not blinded because the intervention group was given a whole food while the placebo group was told to abstain from walnuts [50].Hashimoto et al. also pointed out that the participants might be able to distinguish the type of intervention by odor or taste [37].Other studies did not have a high risk of bias regarding key domains (Table 1).Supporting evidence for judging the RoB of individual trials is presented in Additional file 1: Table S3.

Subgroup analysis on the efficacy of n-3 PUFA by the populational blood level of DHA and EPA
In the countries where the blood level of DHA and EPA was very low, the beneficial effects of n-3 PUFA were not significant for the global cognition (Additional file 1: Fig. S5) and executive function (Additional file 1: Fig. S6).

Subgroup analysis on the efficacy of n-3 PUFA by the presence of MCI
As for trials composed only of people with MCI, we identified two studies [36,47] that examined the global cognition, thus preventing us to conduct any meaningful meta-analysis.For those studies that analyzed executive function, we encountered an absence of statistically significant effects attributable to n-3 PUFA (Additional file 1: Fig. S8).
In the people with normal cognition, the beneficial effects of n-3 PUFA on global cognition and the executive function were not different by the duration of intervention, daily and total doses of n-3 PUFA, and daily doses of DHA and EPA (Additional file 1: Fig. S9 and Additional file 1: Fig. S10).

Sensitivity analyses and publication bias
When we eliminated one study at a time in a stepwise fashion, we did not observe any significant effect of an individual study on the overall estimates.However, we found that several trials have an influence on the statistical heterogeneity of the overall studies.Exclusion of the study by Bo et al. [45] led to a decrease in statistical heterogeneity concerning both global cognition and visuospatial function (Additional file 1: Table S4).Elimination of the studies by Lee et al. [46], Sinn et al. [48], and Howe et al. [57] correspondingly resulted in the reduction of statistical heterogeneity associated with episodic memory, executive function, and processing speed, respectively (Additional file 1: Table S4).

Discussion
To the best of our knowledge, this is the first doseresponse meta-analysis examining the link between n-3 PUFA intake and cognitive function in non-demented individuals exclusively of middle age or older.This study found that the beneficial effect on executive function demonstrates an upward trend within the initial 12 months of intervention.This effect is prominently observed with a daily intake surpassing 500 mg of n-3 PUFA and up to 420 mg of EPA.We also identified a descending curve following 12 months of n-3 PUFA intervention, and when the dosage of EPA exceeded 420 mg/d.Furthermore, these trends exhibit heightened significance in regions where the levels of blood DHA + EPA are not very low.
Our finding regarding the beneficial effect on the executive function is in line with a recent dose-response meta-analysis [22] and previous cross-sectional studies that suggested higher fasting plasma DHA + EPA levels [61] were associated with better executive function in dementia-free elderly individuals.The cognitive advantages attributed to n-3 polyunsaturated fatty acids (PUFA) are believed to be mediated by their influence on synaptic plasticity and neurogenesis in brain regions susceptible to oxidative stress [62].Intriguingly, in the healthy adult population, it has been posited that vulnerability to oxidation follows a caudal-cranial gradient, with the highest vulnerability in the frontal cortex and the lowest in the spinal cord [63].Given that executive function is primarily associated with the frontal cortex, it could elucidate why supplementation with n-3 PUFA exclusively benefits executive function.Furthermore, some scholars have suggested that the positive impact on executive function may be mediated through a reduction in the cerebrovascular lesion [64].
We identified that the beneficial effect on the executive function was not apparent for the individuals from the countries where the blood DHA + EPA level was reportedly very low with ≤ 4% in erythrocytes equivalents.It has long been suggested that this blood level is well correspond to the dietary intakes of DHA + EPA [65], and showed a similar distribution to the data obtained by nutrition surveys [66].Researchers contend that cognitive processes cannot be singularly attributed to the accumulation of n-3 PUFA in the neural membrane; rather, the activation of various genes by dietary n-3 PUFA and their resultant products may also play a crucial role in facilitating its beneficial effects [67].These phenomena may take place as early as conception to perinatal period characterized by an inherently gradual progression [25].Therefore, it is tempting to propose that a habitual, longterm exposure to the n-3 PUFA might be a prerequisite to expect any beneficial effect from a high dose intake of n-3 PUFA though, from these analyses, we were unable to confirm the isolated effect of life-long intake of n-3 PUFA on the cognitive function.
Our analyses also indicated that detrimental effects to the executive function might be possible when taking n-3 PUFA for longer than 12 months or EPA for more than 420 mg/d, respectively.Several previous studies indeed suggested that a high n-3 PUFA intake might actually be associated with a low-density lipoprotein (LDL)-cholesterol-raising effect [68,69] or a decline in the platelet count [70,71], though their evidence is controversial [72].Further studies on the tolerable upper limit of daily intake of n-3 PUFA, especially EPA, are needed to clarify this issue.
The current recommended guidelines for adequate n-3 PUFA intake among the adult or elderly population propose a daily intake of DHA + EPA at levels specified as follows: 250 mg according to the European Food Safety Authority [73] and Poland [74], 450 mg in the Netherlands [75], 500 mg in France [76] and Switzerland [77], between 250 and 500 mg in Belgium [78], and between 250 and 2000 mg according to the Food and Agriculture Organization of the United Nations/World Health Organization [79].Our investigation reveals that a majority of these guidelines employ certain criteria to formulate specific recommendations, primarily focusing on the mitigation of cardiovascular diseases or the prevention of clinical deficiencies.Should subsequent research validate our findings, we posit that our results could enhance existing recommendations by incorporating cognitive perspectives.Notably, a daily n-3 PUFA intake exceeding 500 mg may warrant consideration in the refinement of these guidelines.
There are several limitations that warrant comments.Firstly, multiple cognitive tests were utilized to represent a single cognitive domain.However, efforts were made to reduce this heterogeneity by prioritizing the most commonly used cognitive test for analysis.Conversely, certain cognitive tests were found to lack specificity for the designated cognitive domain.Nonetheless, the overall results demonstrated robustness even after reassigning the test to an alternative domain (data not shown).Secondly, in several instances, the intervention material of trials claiming to be focused on n-3 PUFA did not exclusively consist of it.Minor amounts of other components such as vitamins, protein, or minerals were also mixed in.To ensure the generalizability of our analyses, we opted to exclude only those studies explicitly stating the inclusion of B vitamins in the intervention material but not in the placebo, as these were reported to be linked with cognitive benefits in certain studies [80].Thirdly, we observed that four studies [45,46,48,57] have significantly contributed to the overall statistical heterogeneity.We postulated that the utilization of distinctive cognitive assessments, such as the Basic Cognitive Aptitude Test, Initial Letter Fluency Change, or Z scores, might have exacerbated the heterogeneity, though sensitivity analyses for each of these studies showed robustness.

Conclusions
In conclusion, supplementation of n-3 PUFA may offer potential advantages for executive function in the middle-aged and elderly population, particularly in individuals whose dietary DHA + EPA level is not substantially diminished.

Fig. 1
Fig. 1 Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) diagram

Fig. 3
Fig. 3 Dose-response for the association between n-3 polyunsaturated fatty acids (PUFA) and the global cognition.a Duration of intervention; b daily intake of n-3 PUFA; c total amount of n-3 PUFA taken during the study period; d daily intake of docosahexaenoic acid (DHA); e daily intake of eicosapentaenoic acid (EPA); f ratio of DHA to EPA taken

Fig. 4
Fig. 4 Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the executive function.a Duration of intervention; b daily intake of n-3 PUFA; c total amount of n-3 PUFA taken during the study period; d daily intake of docosahexaenoic acid (DHA); e daily intake of eicosapentaenoic acid (EPA); f ratio of DHA to EPA taken

Fig. 5
Fig. 5 Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the executive function based on the studies from countries where the blood level of docosahexaenoic acid (DHA) + eicosapentaenoic acid (EPA) is not very low.a Duration of intervention; b daily intake of n-3 PUFA; c total amount of n-3 PUFA taken during the study period; d daily intake of DHA; e daily intake of EPA; f ratio of DHA to EPA taken (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig.S3.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the attention.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S4.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the visuospatial function.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S5.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the global cognition based on the studies from countries where the blood level of DHA + EPA is very low.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S6.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the executive function based on the studies from countries where the blood level of DHA + EPA is very low.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S7.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the global cognition based on the studies from countries where the blood level of DHA + EPA is not very low.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S8.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the executive function of the people with mild cognitive impairment.(a) daily intake of n-3 PUFA; (b) total amount of n-3 PUFA taken during the study period; (c) daily intake of docosahexaenoic acid (DHA); (d) daily intake of eicosapentaenoic acid (EPA); (e) ratio of DHA to EPA taken.Fig. S9.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the global cognition of the cognitively normal individuals.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S10.Dose-response meta-analyses for the association between n-3 polyunsaturated fatty acids (PUFA) and the executive function of the cognitively normal individuals.(a) duration of intervention; (b) daily intake of n-3 PUFA; (c) total amount of n-3 PUFA taken during the study period; (d) daily intake of docosahexaenoic acid (DHA); (e) daily intake of eicosapentaenoic acid (EPA); (f ) ratio of DHA to EPA taken.Fig. S11.Funnel plots of meta-analyses between n-3 polyunsaturated fatty acids and the (a) global cognition, (b) episodic memory, (c) executive function, (d) processing speed, (e) attention, and (f ) visuospatial function.

Table 1
Characteristics of included studies ALA alpha-linolenic acid, BCAT Basic Cognitive Aptitude Test, CN cognitively normal, CNT Category Naming Test, CPF-z Z score of Cogstate psychomotor function, CVLT California Verbal Learning Test, DHA docosahexaenoic acid, DSB Digit Span Backward, DSF Digit Span Forward, DSST Digit Symbol Substitution Test, EF executive function, EPA eicosapentaenoic acid, FAB frontal assessment battery, FCSRT Free and Cued Selective Reminding Test, GLO global cognition, GCF Global Cognition Function, ILFC Initial Letter Fluency Change, LM lexical fluency, MAE Mental Arithmetic Efficiency, MCI mild cognitive impairment, MEM episodic memory, MMSE Mini-Mental State Examination, MoCA Montreal Cognitive Assessment, PCT Perceptual Speed, POBAV Pojmenování OBrázků A jejich Vybavení (Picture naming and their recall), PS Processing Speed, RAVLT Rey Auditory Verbal Learning Test, RBANS Repeatable Battery for the Assessment of Neuropsychological Status, RDM delayed memory of RBANS, RM recognition memory, RVC visuospatial/constructional of RBANS, SDMT Symbol Digit Modalities Test, SF semantic fluency, SIE Space Imagery Efficiency, SLM Symbol Letter Modality, SOC Stockings of Cambridge, SRT simple reaction time, SWM spatial working memory, RTot total score of RBANS, TICS Telephone Interview for Cognitive Status, TMT-A Trail Making Test-A, TMT-B Trail Making Test-B, VF verbal fluency, VRM Verbal Recognition Memory, WAIS-PRI Wechsler Adult Intelligence Scale-perceptual reasoning index, WAIS-PSI Wechsler Adult Intelligence Scale-processing speed index, WMS Wechsler memory scale, WMSR-AC Wechsler memory scale revised-attention/concentration, WMSR-VM Wechsler memory scale revised-verbal memory * median (min, max); ** From U.S. Department of Agriculture (https:// fdc.nal.usda.gov/)